The authors of [1]} proposed a weakly-supervised joint convolutional sparse coding method to simultaneously solve the problems of super-resolution and cross-modal image synthesis. In [2]}, the authors adopted a method based on compressed sensing and self-similarity constraint, obtaining better results than [3]} in terms of SSIM and PSNR.
